Non-event-based video frame synthesis.   1) Interpolation: Early work on video frame interpolation has focused on establishing block-wise [1]} and/or pixel-wise [2]}, [3]} correspondences between available frames. Improved performance has been achieved via coarse-to-fine estimation [4]}, texture decomposition [5]}, and deep neural networks (DNN) [6]}. Recent DNN-based approaches include deep voxel flow [7]}, separable convolution [8]}, flow computation and interpolation CNN [9]}. 2) Prediction: Recent work on future frame prediction has proposed to use adversarial nets [10]}, temporal consistency losses [11]} and layered cross convolution networks [12]}. 3) Motion deblur: Recent work on resolving a sharp video/image from blurry image(s) has leveraged adversarial loss [13]}, gated fusion network [14]}, ordering-invariant loss [15]}, etc.
